Update Research simulation
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## Working with code
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The objectives of these rules is to ensure:
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1. Code developped in the lab is preserved.
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1. Code developed in the lab is preserved.
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2. Code can be easily shared in the lab and outside.
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3. Code can be easily reused by other people *(this includes future you!)*.
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4. Simulations are reproducible.
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### Tenets
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1. Every simulation and post-processing code must be versionned in a
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1. Every simulation and post-processing code must be versioned in a
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[Git](https://git-scm.com/book/en/v2) (or similar) repository on
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[git.dalembert.umpc.fr](https://git.dalembert.upmc.fr) (or similar).
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[Commit](https://git-scm.com/book/en/v2/Git-Basics-Recording-Changes-to-the-Repository)
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@ -30,9 +30,16 @@ The objectives of these rules is to ensure:
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resulting SWHID cited in the publication.
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## Working with data
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The objective of these rules is to enure:
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The objective of these rules is to ensure:
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1. Data produced in the lab is preserved.
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2. Data can be easily shared in the lab and outside.
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3. Data can be easily resued by other people *(this includes future you!)*.
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3. Data can be easily reused by other people *(this includes future you!)*.
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4. Data origin can be traced.
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### Tenets
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1. Your `$HOME` must have scheduled daily backups on an external drive / remote server. Periodically make sure backups are working and can be recovered.
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2. Simulation data for a workflow / pipeline / paper is grouped in a dataset. Datasets must be documented with a `README` file explaining what is the data, how it was generated and how it can be used.
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3. Datasets must be (as much as possible) published to Zenodo at the time of submission, and the dataset DOI cited in the article.
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4. Open-source file formats must be used to store data and metadata.
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5. All datasets must be uploaded to ... when leaving the lab.
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